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Found 2 papers, 1 papers with code
Zero-Shot Transfer in Imitation Learning
We present an algorithm that learns to imitate expert behavior and can transfer to previously unseen domains without retraining.
Deep Reinforcement Learning for Active High Frequency Trading
The training is performed on three contiguous months of high frequency Limit Order Book data, of which the last month constitutes the validation data.
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